Stanford scientists used machine learning to design improved zinc fingers that target disease genes while minimizing immunogenicity risk.

Scientists have used machine learning to improve the efficacy and safety of targeted cell and gene therapies by potentially ...

Machine-learning algorithms can now estimate the "brain age" of infants with unprecedented precision by analyzing electrical ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Approval Granted for Restructuring of Offices of ‘Principal Revenue Commissioner’ and ‘Commissioner, Land Records’ ...

Google's AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson in production-grade agent engineering. Discover its architecture & essential takeaways for your ...

Anders Billesø Beck, VP of innovation and strategy at UR (Universal Robots), discusses five AI-powered robotic applications ...

Particle accelerators can be surprisingly temperamental machines. Expertise, specialisation and experience is needed to ...

At the Center for Advanced Research in Sleep Medicine (CARSM), at Montreal's Sacré-Coeur Hospital, Université de Montréal ...

The global energy sector is the largest contributor to greenhouse gas (GHG) emissions, accounting for approximately 73% of total emissions according to the Intergovernmental Panel on Climate Change ...